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A complete course in self-tuning control, beginning with a survey of adaptive control and the formulation of adaptive control problems. Modelling and identification are dealt with before passing on to algebraic design methods. Finally, laboratory verification and experimentation will ground your theoretical knowledge in real plant control.
Features:
- a strong emphasis on practical problem solving with control algorithms clearly laid out in easy-to-follow formats or as MATLAB® functions suitable for use in project work;
- specially written MATLAB® toolboxes for the presentation of typical control system and plant properties and ready for use in direct control of real or simulated plants;
- worked examples and tutorial exercises.
This book shows graduate students and advanced undergraduates how to overcome the problems of putting the tools of adaptive control theory into practice. The text will also be of interest to engineers wishing to employ ideas of adaptive control in their designs and plant.
List of contents
Adaptive Control Systems.- Process Modelling and Identification for Use in Self-tuning Controllers.- Self-tuning PID Controllers.- Algebraic Methods for Self-tuning Controller Design.- Self-tuning Linear Quadratic Controllers.- Computer-aided Design for Self-tuning Controllers.- Application of Self-tuning Controllers.
About the author
Vladimír Bobál (Prof. Ing. CSc.) graduated from the Faculty of Mechanical Engineering at Brno University of Technology in 1966. He received the CSc. (Ph.D.) degree in Technical Cybernetics at the Institute of Technical Cybernetics, Slovak Academy of Sciences, Bratislava. From 1969 he has worked as a Senior Lecturer, Associate Professor and now Professor in the Department of Automatic Control at the Faculty of Technology, Tomas Bata University in Zlín. His research interests are adaptive control systems, system identification, multivariable systems and CAD for self-tuning controllers.
Summary
A complete course in self-tuning control, beginning with a survey of adaptive control and the formulation of adaptive control problems. Modelling and identification are dealt with before passing on to algebraic design methods. Finally, laboratory verification and experimentation will ground your theoretical knowledge in real plant control.
Features:
• a strong emphasis on practical problem solving with control algorithms clearly laid out in easy-to-follow formats or as MATLAB® functions suitable for use in project work;
• specially written MATLAB® toolboxes for the presentation of typical control system and plant properties and ready for use in direct control of real or simulated plants;
• worked examples and tutorial exercises.
This book shows graduate students and advanced undergraduates how to overcome the problems of putting the tools of adaptive control theory into practice. The text will also be of interest to engineers wishing to employ ideas of adaptive control in their designs and plant.
Additional text
From the reviews:
"The monograph under review tries to systematically cover all these aspects for one class of adaptive control systems, namely self-tuning systems. … The book is an excellent complete course on self-tuning and adaptive control systems based on the plant on-line identification. It can be very useful for practically oriented control engineers wanted to employ the ideas of self-tuning control on real industrial plants. … Also researches developing new methods for design and simulation of adaptive control systems may find here some interesting ideas." (Boris Rohal-Ilkiv, International Journal of Robust and Nonlinear Control, Vol. 17, 2007)
Report
From the reviews:
"The monograph under review tries to systematically cover all these aspects for one class of adaptive control systems, namely self-tuning systems. ... The book is an excellent complete course on self-tuning and adaptive control systems based on the plant on-line identification. It can be very useful for practically oriented control engineers wanted to employ the ideas of self-tuning control on real industrial plants. ... Also researches developing new methods for design and simulation of adaptive control systems may find here some interesting ideas." (Boris Rohal-Ilkiv, International Journal of Robust and Nonlinear Control, Vol. 17, 2007)
